Instagram story viewer> @myadlm> Posts

Association for Diagnostics & Laboratory Medicine

@myadlm

1.8K

followers

1

following

ADLM is the premier global professional association leading the way to high quality, effective laboratory testing. #ADLM2027

POSTS STORIES REELS TAGGED

Through our High School Speaker Series, volunteers have reached nearly 300 high school students this year, introducing them to the many career opportunities available in laboratory medicine.

We're excited to highlight the Local Sections that have participated in these outreach efforts so far this year, including Southern California, North Carolina, Greater Chicagoland, Capital, Northeast Ohio, and Texas. From classroom presentations and science fairs to career conversations, these programs are expanding awareness of the profession and helping students better understand the vital role that laboratorians play in healthcare.

Are you interested in bringing the High School Speaker Series to your area? Learn more and get involved at the link in our bio. by @myadlm

12

0

2 days ago

We’re pleased to announce that Amanda R. Ragula, CPA, has been named chief financial officer for ADLM, effective as of October 15.

As ADLM’s chief financial officer, Ragula will serve on the executive leadership team and oversee financial planning, budgeting, and reporting. She also will work with ADLM leaders to evaluate investments in programs and operations.

Learn more about Ragula’s background: https://ow.ly/l6gL50ZYeee by @myadlm

6

0

3 days ago

The Academy of Diagnostics & Laboratory Medicine is accepting proposals for potential guidance documents!

Help shape scientific recommendations for years to come. Submit your 2027 proposal by tomorrow, October 16.

Link in bio. by @myadlm

0

0

3 days ago

Every child deserves test results tailored to their unique stage of development. A blood test can help guide care, but only if we know what’s normal for children.

𝗣𝗲𝗱𝗶𝗮𝘁𝗿𝗶𝗰 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗶𝗻𝘁𝗲𝗿𝘃𝗮𝗹𝘀 (𝗣𝗥𝗜𝘀) help healthcare providers interpret test results accurately and make informed decisions about a child's health. Without reliable pediatric reference data, diagnosing and monitoring disease becomes more challenging.

𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺? Establishing PRIs requires samples from healthy children, and those samples are often difficult to obtain. Many of the specimens available to laboratories come from children being evaluated for illness or medical conditions and may not reflect healthy pediatric populations.

That's why 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝗱 𝗳𝗲𝗱𝗲𝗿𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 for pediatric reference interval research is so important. Expanding access to samples from healthy children will help laboratories develop more accurate reference intervals, leading to better diagnoses and improved care for pediatric patients.

Use your #𝗟𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘆𝗩𝗼𝗶𝗰𝗲 to urge Congress to support funding for this critical work. Contact your representative today using the link below. It only takes a few minutes and can help advance laboratory medicine for children nationwide.

Link in bio.

#ChildrensHealthMonth by @myadlm

1

0

3 days ago

Dr. Stephen Master, vice chair for innovation in the department of pathology and laboratory medicine at Children’s Hospital of Philadelphia, discussed examples of variables that can influence the accuracy of artificial intelligence (AI) healthcare tools in laboratory medicine.

One variable is the instrument or manufacturer used to generate test results. Many labs still produce different results depending on the instrument and manufacturer. This can influence how AI healthcare tools report test results.

Another variable is the demographic data that an AI algorithm was trained with. If it was trained with data from adult patients, can it adequately address the test results of pediatric patients?

Given these and many more variables, laboratories need transparency from developers on the data used to train AI healthcare tools. by @myadlm

2

0

4 days ago

Dr. Sarah Wheeler, clinical pathology medical director at the University of Pittsburgh Medical Center Children’s Hospital of Pittsburgh, discussed the differences between rule-based artificial intelligence (AI), which follows an explicit set of rules written by humans, versus generative AI, and the challenges that arise from the different outputs that generative AI gives.

AI needs more than just lab results to function well, Wheeler said. It needs the expertise of laboratory professionals who are adequately provided with the context behind those results. by @myadlm

9

0

4 days ago

Clinical laboratories are central to this transformation, because they generate approximately 80% of the data used to inform care decisions, according to Dr. Dennis J. Dietzen, chair of pathology and laboratory medicine at Phoenix Children’s Hospital.

At yesterday’s congressional briefing, Dietzen emphasized the importance of urging Congress to establish a regulatory framework that promotes judicious use of healthcare AI while maximizing its benefits. by @myadlm

3

0

4 days ago

Drs. Dennis J. Dietzen, Sarah Wheeler, and Stephen Master spoke at ADLM’s congressional briefing at the Cannon House Office Building today. As leading experts in innovation in laboratory medicine and pediatric care, they discussed how artificial intelligence (AI) is currently being used in healthcare, the benefits and limitations of this technology, particularly for children, and what Congress needs to do to ensure the ethical use of healthcare AI. by @myadlm

21

1

5 days ago

Artificial intelligence (AI) tools need a clearly defined purpose, validation for the intended patients and settings, accountability in clinical laboratory practice, and ongoing monitoring to ensure they continue to perform as intended.

This approach is central to ADLM’s recommendations for trustworthy clinical AI. As ADLM heads to Capitol Hill today, we will make the case that policymakers should establish clear expectations for AI oversight that protect patients throughout the clinical lifecycle. by @myadlm

2

0

5 days ago

What does it take to make clinical artificial intelligence (AI) trustworthy?

Many of the answers are already familiar to laboratory medicine: Reliable data, rigorous validation, continuous monitoring, quality systems, and clear accountability.

Laboratory medicine has decades of experience putting these principles into practice to ensure clinical information is reliable enough to guide patient care. That expertise must shape how AI is evaluated, implemented, monitored, and governed in healthcare.

That’s an important part of ADLM’s message to policymakers as we head to Capitol Hill tomorrow to discuss the responsible use of AI in healthcare.

Links in bio. by @myadlm

4

1

6 days ago

Children are not small adults. Their unique biology changes with every stage of development.

Pediatric reference intervals (PRIs) define what’s normal in lab test results. Without them, doctors don't know when something is wrong. They are the foundation for interpreting test results and making accurate diagnoses.

But many pediatric reference intervals are based on adult values, which can lead to misdiagnosis.

Download our one-pager on quick facts about PRIs at the link in our bio.

#ChildrensHealthMonth by @myadlm

0

0

10 days ago

Clinical laboratories often are asked to perform testing on body fluids that fall outside of Food and Drug Administration-approved specimen types, making validation a regulatory necessity.

Labs accredited by the College of American Pathologists are required to demonstrate that result accuracy is not compromised by matrix effects, which refer to the way that the composition of nontypical body fluids may interfere with an assay designed to measure typical body fluids.

How can labs assess body fluid matrix effects in a practical, analytically sound, and scalable manner?

A recent Scientific Short highlights a rapid, practical approach for assessing matrix effects that can help labs maintain compliance while minimizing the time and resources required for validation studies.

Link in bio. by @myadlm

1

0

11 days ago